Immediate Start : Geospatial AI Analyst

We’re Hiring : Geospatial AI Analyst (Full-Time | Hybrid – Hyderabad)

About Us

Dygnify is a climate-tech analytics company at the intersection of sustainability, deep technology, and financial services. Our product, Prudent, helps enterprises build resilience to climate change by identifying, quantifying and managing climate risk.

If you passionate about applying Machine Learning in Remote Sensing (Google Earth Engine (GEE)) to solve real-world environmental and infrastructure challenges at scale, then join us in building next-generation Geospatial AI solutions that detect, classify, understand and crystallize insights that help build resilience to climate change for enterprises.

Role : Geospatial AI Analyst

Location : Hybrid (Hyderabad)

Experience : Hands-on experience in GEE Machine Learning (mandatory)

Compensation : Competitive | Opportunity to work with seasoned founders and domain experts

Key Responsibilities

• Climate Hazard Mapping
• Use ML in GEE to detect and map physical climate hazards — floods, droughts, heat stress, and landslides.
• Perform change detection for both natural disasters (e.g., pre / post flood or landslide) and man-made changes (e.g., solar installations, urban expansion).
• Apply supervised and unsupervised classification for LULC, crop type, and vegetation health mapping — key inputs for climate value-at-risk models.
• Asset Exposure & Impact Assessment
• Identify climate-exposed assets and quantify potential physical impacts using geospatial ML models.
• Contribute to developing risk metrics and indices for climate risk monitoring and management.
• Visualization & Delivery
• Build and publish interactive GEE Apps for visualizing climate hazards and asset risks.
• Integrate results with Python APIs and GIS tools for scalable analytics and reporting.

Required Skills & Experience

Please Do NOT Apply If You Are :

1. From AI / ML or Data Science backgrounds without GIS or GEE Machine Learning experience.

2. A GIS Analyst without experience in GEE and ML in remote sensing.

3. A GEE user without Machine Learning experience in GEE.

How to Apply

Interested candidates should email their resume, notice period (if any), and most importantly a portfolio with links to relevant work (GEE scripts, apps, publications, GitHub, etc.) to :

nishant@dygnify.com, surabhi@dygnify.com with the subject line "Geospatial AI Analyst (Full-time) – Hyderabad".

Why Join Us